Timetable
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This semester we will discuss the problem of modularity and compositionally in neural networks. The discussion will be based on a recent paper by Schmidhuber's lab: On the Binding Problem in Artificial Neural Networks
The binding problem: The inability of existing neural networks to dynamically and flexibly bind information that is distributed throughout the network.
by Greff, van Steenkiste & Schmidhuber.
11.02 Week 0 - Kick-off seminar
Introduction, organization of the seminar, questions.
presented by Oriol Corcoll
18.02 Week 1 - Sections 1 & 2: Introduction & the binding problem
presented by Aleksei Kopõlov
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25.02 Week 2 - The Psychophysical Evidence for a Binding Problem in Human Vision & Feature binding, attention and object perception
presented by Rodion Krjutškov
feedback | test4.03 Week 3 - Neuronal Synchrony: A Versatile Code for the Definition of Relations? & Synchrony Unbound: A Critical Evaluation of the Temporal Binding Hypothesis
presented by Tetiana Rabiichuk
4.03 Week 3 - Short introduction to these two papers
presented by Jaan Aru
11.03 Week 4 - Section 3: Representation
presented by Denys Kolomiiets
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18.03 Week 5 - Curve Circuits
presented by Shumpei Morimoto
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25.03 Week 6 - Understanding RL Vision
presented by Farid Hasanov
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1.04 Week 7 - Section 4: Segregation
presented by Taavi Luik
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8.04 Week 8 - A Theory of Perceptual Objects
presented by Joonas Puura
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15.04 Week 9 - Symbolic Behaviour in Artificial Intelligence
presented by Kaspar Valk
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22.04 Week 10 - Section 5: Composition
presented by Romet Aidla
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29.04 Week 11 - Compositionality decomposed: how do neural networks generalise?
presented by Taavi Kivisik
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6.05 Week 12 - The binding problem in transformers
presented by Tarun Khajuria
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13.05 Week 13 - Sections 6, 7 & 8: Insights from related disciplines, Discussion & Conclusions
presented by Siyuan Gao
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20.05 Week 14 - The structure of illusory conjunctions reveals hierarchical binding of multipart objects
presented by Behrad Moeini
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27.05 Week 15 - The evolutionary origins of modularity
presented by Sabina Mammadova
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03.06 Week 16 - Unbinding bound objects with drugs
presented by Kristjan Kaup
10.06 Week 17 - How to represent part-whole hierarchiesin a neural network
presented by Tetiana Rabiichuk
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